crafter
ma-gym
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| crafter | ma-gym | |
|---|---|---|
| 2 | 2 | |
| 346 | 519 | |
| - | - | |
| 5.4 | 6.1 | |
| 3 months ago | 3 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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crafter
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[R] Benchmarking the Spectrum of Agent Capabilities: They introduce Crafter, an open world survival game with visual inputs that evaluates a wide range of general abilities within a single environment.
Repo for Crafter: https://github.com/danijar/crafter
- Crafter - Open world survival environment for reinforcement learning.
ma-gym
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Tensorflow and OpenAI Gym for Multi-Agent Reinforcement Learning?
Of course I conducted research (or rather... searched on google :)) before making this post. I found a simple third party gym environment that implements multi-agent rl called 'ma-gym' (https://github.com/koulanurag/ma-gym) but I'm not quite sure how I would train two Agents and let them play inside one environment.
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How do you train Agent for something like Chess or Game of the Generals?
There are projects working on a multi agent version of gym. Maybe you find some inspiration there.
What are some alternatives?
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
mcts-general - General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.
FoliClientInstaller - Installs the Foli Client Minecraft modpack
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
ITAQA-air-quality-aggregator - Framework to collect, aggregate and process air pollution data from different sources (Italy regions)
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
portfolio-management - Repository for portfolio management using Pytorch, SQLAlchemy and XArray. The management is done using the reinforcement learning algorithm "Soft Actor-Critic".
GoBigger - [ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.
dreamerv2 - Mastering Atari with Discrete World Models
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
ecobalyse - Accélerer la mise en place de l'affichage environnemental
dreamerv3 - Mastering Diverse Domains through World Models